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Supply chain risk classification: discussion and proposal

Author

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  • Djalma Araújo Rangel
  • Taiane Kamel de Oliveira
  • Maria Silene Alexandre Leite

Abstract

The supply chain management philosophy has often been used by organisations to achieve a competitive advantage, but it increases the vulnerability of these supply chains (SC) to certain risks. This dialogue between competitive advantage and risk generation has increased the number of studies related to the topic of ‘supply chain risk management’. Aiming to contribute to this field of research, a literature survey was conducted on 16 risk classifications, which included 56 risk types. These risk types were sorted according to existing conceptual similarities and then related to the five management processes intrinsic in a functional SC (plan, source, make, deliver and return), which are mainly advocated by the supply chain operations reference model. This literature review also highlights the lack of consensus among the surveyed authors concerning the risk types that affect a SC, a gap which this paper seeks to close by proposing a supply chain risk classification.

Suggested Citation

  • Djalma Araújo Rangel & Taiane Kamel de Oliveira & Maria Silene Alexandre Leite, 2015. "Supply chain risk classification: discussion and proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6868-6887, November.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:22:p:6868-6887
    DOI: 10.1080/00207543.2014.910620
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    Citations

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    Cited by:

    1. Nikelowski, Lukas & Voss, Rika, 2021. "Approach for application-specific selection of risk assessment methods," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 853-877, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Azadnia, Amir Hossein & McDaid, Conor & Andwari, Amin Mahmoudzadeh & Hosseini, Seyed Ehsan, 2023. "Green hydrogen supply chain risk analysis: A european hard-to-abate sectors perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    4. Jung-Yu Lai & Juite Wang & Yi-Hsuan Chiu, 2021. "Evaluating blockchain technology for reducing supply chain risks," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1089-1111, December.
    5. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    6. Zheng Liu & Qi Xu & Kun Yang, 2018. "Optimal Independent Pricing Strategies of Dual-Channel Supply Chain Based on Risk-Aversion Attitudes," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-17, April.
    7. Lorenzo Bruno Prataviera & Alessandro Creazza & Marco Melacini & Fabrizio Dallari, 2022. "Heading for Tomorrow: Resilience Strategies for Post-COVID-19 Grocery Supply Chains," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    8. A. M. Alamdari & Y. Jabarzadeh & B. Adams & D. Samson & S. Khanmohammadi, 2023. "An analytic network process model to prioritize supply chain risks in green residential megaprojects," Operations Management Research, Springer, vol. 16(1), pages 141-163, March.
    9. Dmitry Ivanov & Boris Sokolov, 2019. "Simultaneous structural–operational control of supply chain dynamics and resilience," Annals of Operations Research, Springer, vol. 283(1), pages 1191-1210, December.
    10. Aysu Göçer & Stanley E. Fawcett & Okan Tuna, 2018. "What Does the Sustainability-Risk Interaction Look Like? Exploring Nuanced Relationships in Emerging Economy Sustainability Initiatives," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    11. Guoquan Zhang & Guohao Li & Jing Peng, 2020. "Risk Assessment and Monitoring of Green Logistics for Fresh Produce Based on a Support Vector Machine," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    12. Dong, Qingxing & Cooper, Orrin, 2016. "An orders-of-magnitude AHP supply chain risk assessment framework," International Journal of Production Economics, Elsevier, vol. 182(C), pages 144-156.
    13. Tobias Rebs & Marcus Brandenburg & Stefan Seuring & Margarita Stohler, 2018. "Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies," Business Research, Springer;German Academic Association for Business Research, vol. 11(2), pages 197-237, September.
    14. Baptista, Susana & Barbosa-Póvoa, Ana Paula & Escudero, Laureano F. & Gomes, Maria Isabel & Pizarro, Celeste, 2019. "On risk management of a two-stage stochastic mixed 0–1 model for the closed-loop supply chain design problem," European Journal of Operational Research, Elsevier, vol. 274(1), pages 91-107.

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